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dc.contributor.advisorKersting, Nicole
dc.contributor.authorRockoff, David
dc.creatorRockoff, David
dc.date.accessioned2018-06-21T21:31:39Z
dc.date.available2018-06-21T21:31:39Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10150/628044
dc.description.abstractA test question is said to contain Differential Item Functioning (DIF) if people who have the same ability level but are from different subpopulations have unequal probabilities of answering correctly. Detection of DIF is crucial to maintaining test fairness. Numerous DIF detection methods exist; none are ideal across a wide range of settings. I introduce a randomization test for DIF detection, and compare its performance to that of the Mantel-Haenszel, Logistic Regression and Lasso-based methods under a Rasch model using Monte Carlo simulations.en_US
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectDIFen_US
dc.subjectDifferential Item Functioningen_US
dc.subjectMantel-Haenszelen_US
dc.subjectMonte Carloen_US
dc.subjectRandomization testen_US
dc.subjectRaschen_US
dc.titleA Randomization Test for the Detection of Differential Item Functioningen_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberBarnes, Katherine
dc.contributor.committeememberZhang, Hao
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineStatisticsen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-06-21T21:31:40Z


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